Catalog of Quality Problems in Data, Data Models and Data Transformations: Requirements specification for the quality management, quality analysis techniques, improvement measures as well as quality management processes of data sets for objects of the material culture
2020-10-14 | report. A publication with affiliation to the University of Göttingen.
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Cite this publication
Kesper A, Matoni M, Rössel J, Weidling M, Wenz V. Catalog of Quality Problems in Data, Data Models and Data Transformations: Requirements specification for the quality management, quality analysis techniques, improvement measures as well as quality management processes of data sets for objects of the material culture. 2020. 86 p. doi: https://doi.org/10.5281/zenodo.3955500
Documents & Media
Details
- Authors
- Kesper, Arno; Matoni, Markus ; Rössel, Julia; Weidling, Michelle ; Wenz, Viola
- Abstract
- This catalogue describes quality problems in research data that are focussed on material cultural objects, corresponding data models and data transformations. It was created within the KONDA research project. This catalogue aims to elicit requirements for a generic quality management process for research data through the exchange with the community. The catalogue is the result of qualitative interviews and a workshop with experts on cultural heritage data. Within the catalogue, each quality problem is described through a structured profile, including aspects such as the affected quality dimensions, examples, causes and ideas on improvement.
- Issue Date
- 14-October-2020
- Project
- KONDA
- Organization
- Niedersächsische Staats- und Universitätsbibliothek Göttingen
- Extent
- 86
- Language
- English
